84 citations · 206 across the 7 of their papers we have counts for
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cs.CE2019
Regression-based sparse polynomial chaos for uncertainty quantification of subsurface flow models
Alexander Tarakanov, Ahmed H. Elsheikh
Surrogate-modelling techniques including Polynomial Chaos Expansion (PCE) is commonly used for statistical estimation (aka. Uncertainty Quantification) of quantities of interests o…
cs.CE2018
Reduced order modeling of subsurface multiphase flow models using deep residual recurrent neural networks
J. Nagoor Kani, Ahmed H. Elsheikh
We present a reduced order modeling (ROM) technique for subsurface multi-phase flow problems building on the recently introduced deep residual recurrent neural network (DR-RNN) [1]…
cs.CE2017★ 72 cited
DR-RNN: A deep residual recurrent neural network for model reduction
J. Nagoor Kani, Ahmed H. Elsheikh
We introduce a deep residual recurrent neural network (DR-RNN) as an efficient model reduction technique for nonlinear dynamical systems. The developed DR-RNN is inspired by the it…